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Framing Accountability in Business-to-Government Data Sharing: The Gap Filling Role of Businesses’ Corporate Digital Responsibility
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Framing Accountability in Business-to-Government Data Sharing: The Gap Filling Role of Businesses’ Corporate Digital Responsibility (2022)Framing Accountability in Business-to-Gov…Corporate Responsibility in the Digital Era (2023)Corporate Responsibility in t…Responsible A.I.-based Credit Scoring – A Legal Framework (2020)Responsible A.I.-based Credit…The ‘Datasphere’, Data Flows beyond Control, and the Challenges for Law and Governance (2018)The ‘Datasphere’, Data Flows …Ethical Implications and Accountability of Algorithms (2018)Ethical Implications and Acco…Algorithmic Transparency for the Smart City (2017)Algorithmic Transparency for …Algorithmic regulation: A critical interrogation (2017)Algorithmic regulation: A cri…Locating ethics in data science: responsibility and accountability in global and distributed knowledge production systems (2016)Locating ethics in data scien…Competing Technologies, Increasing Returns, and Lock-In by Historical Events (1989)Steps Toward an Ecology of Infrastructure: Design and Access for Large Information Spaces (1996)Estimating the reproducibility of psychological science (2015)What is data ethics? (2016)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Transparency in Complex Computational Systems (2020)Power: A Radical View (1974)CRITICAL QUESTIONS FOR BIG DATA (2012)The Black Box Society (2015)Accountable Artificial Intelligence: Holding Algorithms to Account (2020)Human–AI Interactions in Public Sector Decision Making: “Automation Bias” and “Selective Adherence” to Algorithmic Advice (2020)Fairness in Machine Learning: A Survey (2023)On the dimensionality of organizational justice: A construct validation of a measure. (2001)The ethics of algorithms: Mapping the debate (2016)Trustworthy Artificial Intelligence: A Review (2022)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)The Ethics of Artificial Intelligence (2023)Interpretive case studies in IS research: nature and method (1995)Five Misunderstandings About Case-Study Research (2004)Document Analysis as a Qualitative Research Method (2009)Corporate digital responsibility: bibliometric landscape – chronological literature review (2023)Unrevealing the nexus between digital sustainability and corporate digital responsibility: A dual-track systematic literature review towards a framework of corporate digital sustainability (2024)Feelings matter in the digital age: the role of corporate digital responsibility on employee well-being and advocacy behavior (2025)Deep neural networks for choice analysis: Architecture design with alternative-specific utility functions (2020)The Data Journalism Handbook (2021)Using a Machine Learning Tool to Support High‐Stakes Decisions in Child Protection (2021)Fintechs and Institutions: A Systematic Literature Review and Future Research Agenda (2022)Responsible AI in automated credit scoring systems (2022)The Effect of AI-Enabled Credit Scoring on Financial Inclusion: Evidence from an Underserved Population of over One Million (2024)
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References

  • 2017Algorithmic regulation: A critical interrogation1,084 cited
  • 2018Ethical Implications and Accountability of Algorithms811 cited
  • 2016Locating ethics in data science: responsibility and accountability in global and distributed knowledge production systems131 cited
  • 2023Corporate Responsibility in the Digital Era64 cited
  • 2017Algorithmic Transparency for the Smart City61 cited
  • 2020Responsible A.I.-based Credit Scoring – A Legal Framework30 cited
  • 2018The ‘Datasphere’, Data Flows beyond Control, and the Challenges for Law and Governance14 cited

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